Evidence map›Paper›PMID 31976079›Full record

ArticleDigital health

The utility of wearable fitness trackers and implications for increased engagement: An exploratory, mixed methods observational study.

Zakkoyya H Lewis, Lauren Pritting, Anton-Luigi Picazo, Milagro JeanMarie-Tucker

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Smart wearable devices as a psychological intervention for healthy lifestyle and quality of life: a randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Trial
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  13. Heart rate detection by Fitbit ChargeHRJournal of sleep research · 2021
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  17. "Digital health
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Zakkoyya H LewisHealth and Human Sciences, Loyola Marymount University, USA.ORCID https://orcid.org/0000-0001-8645-6495
Lauren PrittingHealth and Human Sciences, Loyola Marymount University, USA.
Anton-Luigi PicazoHealth and Human Sciences, Loyola Marymount University, USA.
Milagro JeanMarie-TuckerHealth and Human Sciences, Loyola Marymount University, USA.
Loyola Marymount University · USPomona College · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore which features of wearable fitness trackers are used and deemed helpful.

methodsForty-seven participants took part in an online survey. All participants were over 18 years of age and owned a wearable device that objectively measured physical activity and provided feedback. The survey included questions related to the acceptance of different features of wearables, and exercise information, self-efficacy, exercise identity, motivation, and general demographics of the wearer. Seven participants took part in focus groups in an effort to gain further insight into the acceptability and utilization of wearables. Data were examined using means and frequencies.

resultsParticipants were mostly young adults (18-24 years, 48.9%), White (63.8%), female (80.9%), overweight (body mass index 26.0±6.2), students (42.6%) and generally healthy. Fitbit was the most commonly owned wearable device (42.6%). Most participants had owned their device for 6-12 months (27.7%) and they wore their device daily (80.9%). The most commonly used features were rewards/badges (59.6%), notifications (52.2%), and challenges (42.6%). The features that were reportedly the most helpful, however, were motivational cues (83.3%), general health information (82.4%), and challenges (75.0%).

conclusionsThe reported use and helpfulness ratings of various features of wearables appeared to vary based on the wearer's gender, race/ethnicity, exercise goal, exercise proficiency, preferred type of exercise, and psychosocial metrics but the results are inconclusive. Future research should evaluate whether engagement with certain features is strongly associated with improved outcomes and whether the use of these features is significantly associated with wearer characteristics.

Indexed as

activity monitoractivity trackeradultsexercisephysical activityWearable

Identifiers

PMID31976079
PMCPMC6958644
OpenAlexW2999422627

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.